Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/166579
Title: A spatial-focal error concealment scheme for corrupted focal stack video
Authors: Wu, Kejun
Wang, Yi
Liu, Wenyang
Yap, Kim-Hui
Chau, Lap-Pui
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Source: Wu, K., Wang, Y., Liu, W., Yap, K. & Chau, L. (2023). A spatial-focal error concealment scheme for corrupted focal stack video. 2023 Data Compression Conference (DCC). https://dx.doi.org/10.1109/DCC55655.2023.00017
Project: NRF2018NCR-NCR009-0001 
Conference: 2023 Data Compression Conference (DCC)
Abstract: Focal stack image sequences can be regarded as successive frames of videos, which are densely captured by focusing on a stack of focal planes. This type of data is able to provide focus cues for display technologies. Before the displays on the user side, focal stack video is possibly corrupted during compression, storage and transmission chains, generating error frames on the decoder side. The error regions are difficult to be recovered due to the focal changes among frames. Conventional error concealment methods result in sharpness inconsistency between recovered regions and their spatial adjacent regions. Motivated by this, in this paper, we propose a spatial-focal error concealment scheme specialized for focal stack videos. The spatial adjacent regions around an error region are employed to reveal the prediction relations between error frame and focal adjacent frames. Gaussian blur filtering and Lucy-Richardson deblur filtering are applied to simulate the video focal changes. In this way, the error regions can be well recovered by exploiting the spatial-focal information. Experiment results show that the proposed scheme can achieve the highest objective quality in terms of PSNR and SSIM. It can also obtain the best subjective quality with sharpness consistency in recovered regions and without block effect.
URI: https://hdl.handle.net/10356/166579
ISBN: 979-8-3503-4795-1
ISSN: 2375-0359
DOI: 10.1109/DCC55655.2023.00017
Schools: School of Electrical and Electronic Engineering 
Rights: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/DCC55655.2023.00017.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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